Record matcher (dedupe)
Do these two records describe the same person, company or product?
Entity resolution for messy data: compares two records despite typos, abbreviations and formatting differences, and names which fields disagree. Clear matches merge, conflicts stay separate, and the grey zone goes to review.
Try it live
Real calls to Jev. Pick an example or paste your own.
Pick an example or paste your own input, then run it.
Under the hood
Every question and rule, in the open. Fork it to change any of them.
What it asks
Reads record_a and record_b, then asks 4 questions in one call.
- Q1Same entityScore
Do
record_aandrecord_bdescribe the same real-world entity?- 0Definitely different
- 1Probably different
- 2Probably the same
- 3Definitely the same
- Q2Names conflictYes / no
Do the names conflict in a way that abbreviations, typos or formatting can't explain?
- Q3Locations conflictYes / no
Do the addresses or locations conflict?
- Q4Identifiers conflictYes / no
Do identifiers such as email, phone, SKU, tax ID or URL conflict?
How it decides
Rules run in code, top to bottom. The first one that matches gives the verdict.
- 1If Identifiers conflict ≥ 0.7Different
- 2If Same entity ≥ 2.4 of 3Match
- 3If Same entity ≥ 1.5 of 3Possible matchreview
- ·DefaultDifferent
Call it from your code
Every template runs as-is with an API key, no setup: POST /api/v1/judges/record-matcher/run.
curl -X POST https://tryevally.com/api/v1/judges/record-matcher/run \ -H "Authorization: Bearer $EVALLY_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "input": { "record_a": "Intl. Business Machines Corp, 1 New Orchard Rd, Armonk NY, ibm.com", "record_b": "IBM, One New Orchard Road, Armonk, New York 10504, www.ibm.com" }}'Seen in the wild
Community builds on Jev that use this pattern. Not affiliated with Evally.
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